Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
| Date | Stars |
|---|---|
| 2026-07-24 | 866 |
| 2026-07-25 | 866 |
| 2026-07-28 | 866 |
| 2026-07-30 | 866 |
| 2026-08-06 | 866 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# Chat with your enterprise data using LLM This sample demonstrates a few approaches for creating ChatGPT-like experiences over your own data. It uses Azure OpenAI Service to access the ChatGPT model (gpt-35-turbo and gpt3), and vector store (Pinecone, Redis and others) or Azure cognitive search for data indexing and retrieval. The repo provides a way to upload your own data so it's ready to try end to end. ## Updates * 3/30/2024 - Refactored to keep on Chat, Chat Stream, QnA, Upload and Admin functionality. All others will be moved to it's own repo. * 3/10/2024 - Move the Prompt Flow version to [entaoaipf](https://github.com/akshata29/entaoaipf) * 3/9/2024 - Initial version of advanced RAG techniques and Multi-modal RAG pattern * 2/28/2024 - Removed SEC analysis features and it's moved into it's own repo at [sec](https://github.com/akshata29/sec) * 1/28/2024 - Remove PitchBook features as they are moved into it's own repo at [pib](https://github.com/akshata29/pitchbook) * 1/19/2024 - Updated the python package & OpenAI > 1.0. Changes made to all Python API for breaking changes introduced in OpenAI and langchain. * 10/12/2023 - Initial version of [Autonomous](./api/PromptFlow/Autonomous/) PromptFlow. For now supporting the Pinecone indexes, but support for Cognitive Search and Redis will be updated soon. * 9/29/2023 - Added [Evaluate](./api/PromptFlow/Evaluate/) PromptFlow. Prompt Flow once created in Azure ML, can be attached to your existing run to evaluate against the following evaluation process : * Groundness - The Q&A Groundedness evaluation flow will evaluate the Q&A Retrieval Augmented Generation systems by leveraging the state-of-the-art Large Language Models (LLM) to measure the quality and safety of your responses. Utilizing GPT-3.5 as the Language Model to assist with measurements aims to achieve a high agreement with human evaluations compared to traditional mathematical measurements. gpt_groundedness (against context): Measures how grounded the model's predicted answers are against the context. Even if LLM’s responses are true, if not verifiable against context, then such responses are considered ungrounded. * Ada Similarity - The Q&A ada_similarity evaluation flow will evaluate the Q&A Retrieval Augmented Generation systems by leveraging the state-of-the-art Large Language Models (LLM) to measure the quality and safety of your responses. Utilizing GPT-3.5 as the Language Model to assist with measurements aims to achieve a high agreement with human evaluations compared to traditional mathematical measurements. The Ada Similarity evaluation flow allows you to assess and evaluate your model with the LLM-assisted ada similarity metri ada_similarity: Measures the cosine similarity of ada embeddings of the model prediction and the ground truth. ada_similarity is a value in the range [0, 1]. * Coherence - The Q&A Coherence evaluation flow will evaluate the Q&A Retrieval Augmented Generation systems by leveraging the state-of-the-art Large Language Models (LLM) to measure the quality and safety of your responses. Utilizing GPT-3.5 as the Language Model to assist with measurements aims to achieve a high agreement with human evaluations compared to traditional mathematical measurements. The Coherence evaluation flow allows you to assess and evaluate your model with the LLM-assisted Coherence metric. gpt_coherence: Measures the quality of all sentences in a model's predicted answer and how they fit together naturally. Coherence is scored on a scale of 1 to 5, with 1 being the worst and 5 being the best. * Similarity - The Q&A Similarity evaluation flow will evaluate the Q&A Retrieval Augmented Generation systems by leveraging the state-of-the-art Large Language Models (LLM) to measure the quality and safety of your responses. Utilizing GPT-3.5 as the Language Model to assist with measurements aims to achieve a high agreement with human evaluations compared to traditional mathematical measurements. The Simi
Excerpt of 21,623 characters
Read on GitHub
260
Melroy van den Berg · @LibreWeb, @MoneyTips, @ASML-gh, @BitcoinCash1, @SoftStack-BV · Netherlands
2
Ishaan Jaff · @BerriAI
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:ea22239b829c928a, topic:vector-store, readme:vector store
matched fp:ea22239b829c928a, topic:chatgpt